Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2022, Vol. 38 ›› Issue (15): 27-33.doi: 10.11924/j.issn.1000-6850.casb2021-0788

Special Issue: 生物技术 油料作物 农业气象

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Warming and Drought in Hailun of Heilongjiang: Effects on Growth and Development of Soybean

SUN Xipeng1,2(), LI Qi1,2(), QIAO Yunfa1,2, HU Zhenghua1,2, ZHANG Xuying1,2, LIU Yuanyuan1,2   

  1. 1Jiangsu Key Laboratory of Agrometeorology, Nanjing 210044
    2Nanjing University of Information Science & Technology, Nanjing 210044
  • Received:2021-08-19 Revised:2021-12-05 Online:2022-05-25 Published:2022-06-07
  • Contact: LI Qi E-mail:chefsunxp@163.com;liqix123@sina.com

Abstract:

The purpose of this study is to explore the effects of different degrees of warming and drought stress on soybean growth in Hailun area of Heilongjiang Province by using WOFOST model, and to provide reference for local soybean planting. The soybean production data of Hailun Comprehensive Experimental Station were used as test materials, the localized WOFOST model was used to simulate the warming and drought stress, and the growth data of soybean under different stress conditions were measured. The results showed that under 1℃-3℃ warming stress, the growth period of soybean was significantly shortened, the leaf area index decreased with the increase of the stress, and the yield decreased with the increase of temperature. Under 3℃ temperature increase, the total weight of living storage organs (TWSO) decreased by 11.01% and the total aboveground production (TAGP) decreased by 13.72%. Under different degrees of drought stress, the length of soybean growth period did not change significantly, but the leaf area index decreased significantly, and the yield was significantly affected by drought, particularly, the total weight of living storage organs was decreased by 13.26% under severe drought stress. In this study, the impact of warming and drought on soybean in Hailun was analyzed by crop model, which could have great significance for disaster prevention and mitigation, and stable yield increase in soybean production.

Key words: WOFOST model, soybean, warming, drought, yield

CLC Number: